Description Usage Arguments Value Examples
View source: R/getEnhancerElementPvalue_cluster_v2.R
Run CNCDriver enhancer element p-value calculation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | getEnhancerElementPvalueWithPreFilter2(
inputFileDir,
outputFileDir,
enhancerRegionBedFile,
elementKeyWord = "Distal",
minPoints = 2,
dRadius = 50,
triNucleotideDistributionFile,
filterOutBlacklistMutations,
mutationBlacklistFile,
replicationTimingGenomeBinnedFile,
replicationTimingElementBinnedFile,
tumorType,
mutationType,
cellType,
replicationTimingCutOff,
seedNum = 42,
reSampleIterations,
reRunPvalueCutOff = 0.1,
useCores,
taskNum,
unitSize,
debugMode = FALSE
)
|
inputFileDir |
The path for prepared R object file [for example,reducedFunseqOutputNCDS_GBM.Rd] |
outputFileDir |
The path for output files |
enhancerRegionBedFile |
The defintion of promoter regions in bed file format |
elementKeyWord |
Default is "Distal", the keyword of enhancer annotation in FunSeq2 |
minPoints |
default is 2 [ unit: samples ] |
dRadius |
default is 50 [ unit: bp ] |
triNucleotideDistributionFile |
Cancer type specific mutation counts in 96 trinucleotide category |
filterOutBlacklistMutations |
TRUE or FALSE |
mutationBlacklistFile |
The file for mutation blacklist regions |
replicationTimingGenomeBinnedFile |
Replication timing value at 1MB bin |
replicationTimingElementBinnedFile |
Replication timing value of each element within 1MB bin |
tumorType |
Study name |
mutationType |
User provided mutated gene list |
cellType |
Cell type of the study, [ BJ, GM12878, HeLaS3, HepG2, IMR90, K562, MCF7, SKNSH or average ] |
replicationTimingCutOff |
Default is 0.2, a numeric value ranging from 0 to 1 |
seedNum |
User provided random number seed, default is 42 |
reSampleIterations |
User provided re-sapling iteration numbers |
reRunPvalueCutOff |
Default is 0.1, a numeric value ranging from 0 to 1 |
useCores |
Default is 1, number of cpu to use |
taskNum |
Default is 0, 0 means to run all elements |
unitSize |
Number of elements to run per task |
debugMode |
TRUE or FALSE |
results data frame
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | #date<-getRunDates(latest=TRUE)
cancerType<-"KIRC"
selectedSampleId<-NA
#worDir<-getwd()
mutSig2CVthreshold<-0.1
rareMutationUpperLimit<-0.3
rareMutationLowerLimit<-0.1
rareMutationFreq<-0.02
#runNetBox2(dataDir,cancerType,
# mutationList,ampGeneList,delGeneList,epiSilencedList,
# mutationFreq,ampGeneFreq,delGeneFreq,epiSilencedFreq,
# pathwayCommonsDb,directed,
# linkerPValThreshold,communityDetectionMethod,
# keepIsolatedNodes,verbose=TRUE)
|
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